Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
43 measurements spanning 72 days, net -1,593. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 29,156–31,546 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 43
Measured (UTC)
Subscribers
Change
17 Oct 2026, 21:40
29,677
-24
16 Oct 2026, 19:26
29,701
+9
15 Oct 2026, 19:16
29,692
-29
14 Oct 2026, 15:54
29,721
+4
13 Oct 2026, 06:00
29,717
+56
9 Oct 2026, 00:55
29,661
+229
4 Oct 2026, 14:00
29,432
-189
26 Sept 2026, 08:37
29,621
+51
19 Sept 2026, 08:58
29,570
-35
16 Sept 2026, 19:56
29,605
+4
14 Sept 2026, 19:15
29,601
-43
13 Sept 2026, 09:16
29,644
-47
11 Sept 2026, 14:58
29,691
+57
9 Sept 2026, 02:35
29,634
+34
5 Sept 2026, 19:39
29,600
-10
3 Sept 2026, 18:00
29,610
-55
2 Sept 2026, 07:16
29,665
-51
1 Sept 2026, 08:05
29,716
-37
31 Aug 2026, 08:57
29,753
-75
30 Aug 2026, 05:27
29,828
first reading
Engagement
198 posts held, back to 31 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 114 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
15.9%
avg views ÷ 29,677 subscribers
Avg views / post
4,720
83 posts measured
Reaction rate
0.448%
reactions ÷ views · ER floor
Posts in window
83
of 198 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 17 October 2026
Posts held
198 (31 July 2026 – 17 October 2026)
Views total
391,735
Reactions total
1,756
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Oct 2026, 15:35 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Video runtime
26m 17s
Average length
40s
Measured directly from 39 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
4,059 reactions across 196 posts, in 25 distinct kinds. The most used accounts for 40.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,635
40.3%
🔥
981
24.2%
👍
528
13.0%
👏
361
8.89%
😁
240
5.91%
⚡
64
1.58%
🥰
46
1.13%
🎉
29
0.714%
😭
26
0.641%
🤩
25
0.616%
💯
21
0.517%
🏆
19
0.468%
👀
16
0.394%
😱
14
0.345%
🤝
12
0.296%
😍
11
0.271%
🆒
7
0.172%
✍
6
0.148%
🌚
6
0.148%
😈
6
0.148%
5 further kinds
6
0.148%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 196 of the 198 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 4,059 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 198 most recent posts we hold, published 31 July 2026 to 17 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 196 we hold a reading for · 0.5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @idcuz. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 198 most recent posts we hold for this entry, published 31 July 2026 to 17 October 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Milliy sertifikatga tayyorlanishda testlar yetishmayaptimi?
Unda "Milliy sertifikat Praktikum" aynan siz uchun.
🇼🇸 Kitob — "IDC Abituriyentlar" to‘plamining yangi qismi bo‘lib, Milliy sertifikat imtihoniga amaliy tayyorgarlik qilish uchun tuzilgan.
Kitobda:
🔹 45 ta savol turi bo‘yicha mashqlar
🔹 Har bir savol turi uchun 60 tadan test
🔹 Osonidan boshlab murakkablashib boruvchi testlar
🔹 Ochiq, yopiq va moslashtiruv…
🏆 TasIMO NATIJALARI — YANGI MAQSADLAR SARI!
📊 2025/26-o‘quv yili natijalari:
🥇 2 nafar — Prezident maktabiga
🥇 7 nafar — Muhammad al-Xorazmiy maktabiga
🥇 22 nafar — ixtisoslashtirilgan maktablarga
🥇 1 nafar — xorijiy tillarga ixtisoslashtirilgan maktabga
📊 2024/25-o‘quv yili natijalari:
✅ 7 nafar — Prezident maktabiga
✅ 12 nafar — Muhammad al-Xorazmiy maktabiga
✅ 16 nafar — ixtisoslashtirilgan maktablarga qabul qil…
Matematikadan Milliy sertifikat imtihoniga oz kunlar qoldi.
Ko‘pchilik hali vaqt bor deb o‘ylaydi. Lekin tayyorgarlikni ortga surish — eng katta xatolardan biri.
🇼🇸 IDC’ning "Matematika — Milliy sertifikat" kitobi imtihonga tayyorlanish uchun 1800 ta topshiriqni jamlagan.
Kitobda:
🔹 900 ta mavzulashtirilgan test
🔹 20 ta to‘liq test varianti — jami 900 ta topshiriq
🔹 Algebra, tenglama va tengsizliklar, funksiyalar…
#xushxabar
🧑🏫 TasIMO jamoasi 3-4 sinf o’quvchilarga uchun online darslarga test sinovini o’tkazishini e’lon qiladi!
📣 O‘quvchilar 17-oktabr, shanba kuni soat 19:00 da o‘tkaziladigan maxsus test asosida saralab olinadi.
📈 Yuqori ball olgan o‘quvchilarga har bir viloyat bo‘yicha:
🟢1-2-3 -o‘rinlarga - 100 %;
🟢4-5-6-o‘rinlarga - 50 %lik vaucherlar ajratiladi.
(Vaucherlar har oy ishtirokchilar o‘rtasida imtihon aso…
📢 Milliy sertifikat imtihonlariga ro‘yxatga olish boshlandi!
📅 Imtihon sanalari:
🔹 21-noyabr — Biologiya
🔹 22-noyabr — Kimyo
🔹 24-noyabr — Fizika
🔹 28–29-noyabr — Matematika
📝 Ro‘yxatdan o‘tish: my.gov.uz orqali.
Ealatma: Ro‘yxatdan o‘tgan talabgorlar test sinovida ishtirok etish uchun to‘lovni ro‘yxatdan o‘tgan vaqtdan boshlab 24 soat ichida amalga oshirishlari lozim.
@idcuz
Matematikadan tayyorlanishda Praktikum va Milliy sertifikat kitoblaridan qaysi birini, qachon ishlatish kerak?
📘 Milliy sertifikat Praktikum — o‘tilgan mavzularni takrorlash va bilimlarni mustahkamlash uchun. Agar mavzuni o‘rgangan bo‘lsangiz va uni yaxshiroq tushunib, ko‘proq mashq qilmoqchi bo‘lsangiz, Praktikum aynan siz uchun.
📘 Milliy sertifikat kitobi esa imtihonga tayyorlanish, murakkabroq savollarni yechish…
⬇️ IDC kitoblari haqida ma'lumot:
Abituriyent to'plami:
Matematika 1-qism
Matematika 2-qism
Matematika 3-qism
Geometriya
Stereometriya
Matematika testlar to'plami
Geometriyadan testlar to'plami
Milliy sertifikat
Milliy sertifikat PRAKTIKUM
Daraja to'plami:
Daraja 1-qism
Daraja 2-qism
Daraja 3-qism
Daraja maxsus
Yosh iqtidor egalari:
Yosh iqtidor egalari 1-2-3-qism
Tanqidiy fikrlash
Muammoni hal qilish
Testlar t…
🚀 SAT’ga tayyorgarlikda eng muhim narsa — vocabulary!
📉 Ko‘plab SAT o‘quvchilari Reading qismidan past ball olishadi? Sabablaridan biri — lug‘at boyligi kamligi🔎
💡 Yechimni IDC beradi! Ushbu kitob ustida 1 yil ishladik va 2023-yildan hozirgacha bo‘lgan eng muhim so‘zlarni jamladik. Kuzatuvlarimizga ko‘ra, 90–95% haqiqiy imtihondagi so'zlar shu kitobda mavjud. 🔥
Xo‘sh, bu kitob sizga nimalar beradi?
🔹 1 300 ta cor…
IDC’dan navbatdagi SAT kitobi — DIGITAL SAT VOCABULARY 2026!
🇼🇸 SAT Reading & Writing qismida so‘z boyligingizni mustahkamlash va murakkab savollarga tayyorlanish uchun yangi qo‘llanma endi sotuvda!
📚 Kitob nimalarni o‘z ichiga oladi?
🔹 1 300 ta asosiy so‘z
🔹 3 000+ ta ma’nodosh va o‘zaro bog‘liq so‘zlar
🔹 1 050 ta amaliy savol
🔹 Haqiqiy SAT imtihonlaridan olingan 400 ta murakkab savol
🔹 So‘zlarni o‘zaro bog‘lab o…
🔥14❤8👏4
Signed Karimov.K
Showing the 12 most recent of 198 posts we hold for @idcuz. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@idcuz edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
19 August 2026
Most recent edit
3 September 2026
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Matematika 0 dan | Attestatsiya & Milliy Sertifikat @geometry19 · 2,118#93
Read from Telegram’s recommendation API, most recently 8 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Matematika Pro @fayziev_attestatsiya · 35,596 Telegram ranks this channel #4 of 93 here — alongside 92 others — read 3 September 2026
Tashkent_IMO @tashkent_imo · 34,729 Telegram ranks this channel #6 of 85 here — alongside 84 others — read 6 September 2026
Prezident Maktablariga online tayyorlov | Abrorjon Farmonov @farmonov_piima · 33,039 Telegram ranks this channel #9 of 94 here — alongside 93 others — read 4 October 2026
Presidential Schools English tests @pmtests_english · 25,644 Telegram ranks this channel #14 of 89 here — alongside 88 others — read 18 September 2026
Prezident maktablariga va Nufuzli maktablarga tayyorgarlik @piimaolympiad_edu · 27,703 Telegram ranks this channel #16 of 92 here — alongside 91 others — read 8 September 2026
Prezident maktabi testlari | Asosiy kanal @pmtests · 79,259 Telegram ranks this channel #20 of 93 here — alongside 92 others — read 18 August 2026
O‘qituvchi | Attestatsiya @Attestatuz · 79,909 Telegram ranks this channel #21 of 92 here — alongside 91 others — read 19 August 2026
Xodiyev Academy @xodiyevacademy · 52,749 Telegram ranks this channel #31 of 88 here — alongside 87 others — read 25 August 2026
Matematika Milliy Sertifikat | Jamshid Saidxonov @MatematikaMilliy_Sertifikat · 71,936 Telegram ranks this channel #46 of 93 here — alongside 92 others — read 24 August 2026
MATEMATIKADAN TESTLAR @testbazasi · 26,168 Telegram ranks this channel #50 of 92 here — alongside 91 others — read 10 September 2026
Sardorxon Urfonxonov | Matematika Kursi @SARDORXON_URFONXONOV · 24,995 Telegram ranks this channel #58 of 83 here — alongside 82 others — read 15 September 2026
SUPER MATEMATIKA @super_matematika · 42,109 Telegram ranks this channel #72 of 94 here — alongside 93 others — read 2 September 2026
Math Teachers @MathTeachersN1 · 24,135 Telegram ranks this channel #81 of 90 here — alongside 89 others — read 12 September 2026
Matematika Attestatsiya | Muhriddin Muxiddinov @matemfizsuper · 20,236 Telegram ranks this channel #85 of 95 here — alongside 94 others — read 27 September 2026
Ixtiyor Mirzaabdullayev ||Matematika @Milliysertifikat_online · 23,969 Telegram ranks this channel #85 of 96 here — alongside 95 others — read 23 September 2026
Math Teachers–Attestatsiya @PiMatematika · 37,234 Telegram ranks this channel #86 of 94 here — alongside 93 others — read 30 August 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 October 2026 — this
entry's latest reading, not the date you are reading this.
“IDC” (@idcuz), 29,677 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/idcuz.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.